… learning automotive intrusion detection … automotive intrusion detection. Much of the literature
was published in 2019 and concentrated on intrusion detection systems for the automotive …

… After discussing the main requirements of an automotive application of Intrusion Detection
approaches, in this paper we investigate two general aspects in more detail. The first covers …

… intrusion detection in the automotive domain. We explore a myriad of threats and intrusion
detection … the use of blockchain in automotive applications, including automotive intrusion …

… In this section we describe three different applications of cryptography in automotive systems:
signed messages, signed software updates and encrypted messages. These three could …

… Intrusion Detection System (IDS) for the automotive sector is introduced. It works by adopting
a two-step algorithm that provides detection of … Therefore, to identify our application domain, …

… However, the main goal of this paper is to highlight a holistic approach known as intrusion
detection system (IDS) which has been a significant tool in securing networks and information …

… This paper presents a context-aware intrusion detection system (CAID) framework capable
… physical intrusion detection systems (IDS) by adding a physical model to the detection engine…

… conventional intrusion detection … detected in a short time-frame as cybersecurity attacks in
vehicles can lead to safety hazards. This paper proposes an approach for intrusion detection …

… of automotive attacks have greatly stimulated researchers’ enthusiasm for IVN’s cybersecurity
research. Moreover, IVN’s intrusion detection … The large-scale application of automotive …

… application-aware HIDSs to the automotive sector. … Detection” is sometimes used
synonymously, it is also part of this part. Additionally, we added the term “Application Intrusion …